Aifang Nie

41 total papers · 1.0k total citations
30 papers, 706 citations indexed

About

Aifang Nie is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Aifang Nie has authored 30 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Surgery and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Aifang Nie's work include Pancreatic function and diabetes (9 papers), Ion channel regulation and function (7 papers) and Metabolism, Diabetes, and Cancer (7 papers). Aifang Nie is often cited by papers focused on Pancreatic function and diabetes (9 papers), Ion channel regulation and function (7 papers) and Metabolism, Diabetes, and Cancer (7 papers). Aifang Nie collaborates with scholars based in China, United States and Australia. Aifang Nie's co-authors include Ziqiang Meng, M Kellis, Guang Ning, Yanyun Gu, Qicheng Ni, Hongli Zhang, Wenyi Li, Guang Ning, Ying Yang and Jun Yang and has published in prestigious journals such as Nature Communications, Blood and Diabetes.

In The Last Decade

Aifang Nie

30 papers receiving 699 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Aifang Nie	282	282	201	124	88	30	706
Irene C. Green	250 0.9×	261 0.9×	163 0.8×	197 1.6×	128 1.5×	23	866
S. J. Bhathena	257 0.9×	340 1.2×	247 1.2×	143 1.2×	67 0.8×	36	852
Donald O. Allen	154 0.5×	411 1.5×	146 0.7×	274 2.2×	76 0.9×	52	848
So Nagai	104 0.4×	274 1.0×	239 1.2×	198 1.6×	88 1.0×	53	702
Matteo Pedrelli	270 1.0×	226 0.8×	163 0.8×	132 1.1×	50 0.6×	37	681
A. R. Diani	172 0.6×	264 0.9×	172 0.9×	172 1.4×	61 0.7×	23	635
Balachandar Nedumaran	196 0.7×	404 1.4×	176 0.9×	108 0.9×	83 0.9×	19	717
Roberto De Pirro	204 0.7×	289 1.0×	324 1.6×	180 1.5×	173 2.0×	45	793
J. B. Field	185 0.7×	305 1.1×	398 2.0×	163 1.3×	124 1.4×	37	889
G. Bruscalupi	133 0.5×	345 1.2×	171 0.9×	115 0.9×	99 1.1×	47	868

Countries citing papers authored by Aifang Nie

Since Specialization

Citations

This map shows the geographic impact of Aifang Nie's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Aifang Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aifang Nie more than expected).

Fields of papers citing papers by Aifang Nie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aifang Nie. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Aifang Nie. The network helps show where Aifang Nie may publish in the future.

Co-authorship network of co-authors of Aifang Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Aifang Nie. A scholar is included among the top collaborators of Aifang Nie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aifang Nie. Aifang Nie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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